Webinar: Efficient Battery Modeling with Surrogate Models powered by COMSOL скачать в хорошем качестве

Webinar: Efficient Battery Modeling with Surrogate Models powered by COMSOL

About The Event Battery modeling is critical for predicting the performance and lifecycle of Li-ion batteries, yet traditional modeling approaches often face a tradeoff between computational speed and accuracy. Detailed physics-based models, such as the Newman model, offer high accuracy but are computationally expensive. On the other hand, lumped or simplified models are faster but sacrifice precision. In this webinar, we explore surrogate modeling as a solution that balances both speed and accuracy. Surrogate models, often powered by machine learning techniques like deep neural networks, allow for rapid simulations without compromising significantly on fidelity.